Particle sorting apparatus and method

Abstract

A particle analyzing and/or sorting apparatus and the associated methods. One aspect of the described embodiments relates to an analyzer, or a sorter, having acquisition and sort electronics in the form of a field programmable gate array for processing detected signals. Another aspect relates to a droplet based approach of analyzing and sorting particles and may further include a dynamic element, such a dynamic drop delay. In still another broad aspect, an apparatus and method for dynamically varying other sorting parameters.

Description

[0001]This application claims the benefit of U.S. Provisional Patent Application 61 / 439,757, filed on Feb. 4, 2011, the entire text of which is incorporated herein by reference.FIELD[0002]The present disclosure generally relates to a particle sorting apparatus and associated methods for sorting particles, and more particularly relates to methods and systems for controlling, operating and optimizing flow cytometers for enriching populations of particles.BACKGROUND[0003]Various flow cytometers and microfluidic systems exist for the purposes of analyzing and separating particles. Each of these instruments has various disadvantages making them less desirable for certain applications. Early flow cytometers were able to count particles in fluid streams and were eventually able to differentiate and count particles having different characteristics, such as different sizes. As new dyes and staining procedures developed, the capacity of flow cytometers to differentiate particle characteristic...

AI Technical Summary

Benefits of technology

[0012]One aspect of the droplet based approach relates to a method and apparatus which compile an event memory map during the sorting process. The event memory map can include information about each detected pulse corresponding to a particle and about each expected droplet, regardless of whether or not the droplet and its neighboring droplets contain particles. In this manner, certain aspects provided herein result in a more precise tracking of all events and all droplets. The event parameters associated with event windows in the event memory map can be used as previously described for making real time adjustments to operational sorting parameters, or can be provided as input in mathematical models for making sort decisions. Mathematical models can include models for predicting probabilities relating to classification, probabilities regarding which droplet a particle will end up in, projected purities, or other relevant information. The event memory map provides a tool for clearer logic with improved interpretation for more accurate sort systems achieved through the structured tracking of variables. As an example, the event memory map can record event parameters for surrounding expected droplets and apply a sort logic accounting for both the droplet before the current droplet and the droplet after the current droplet.

[0013]Another aspect of the droplet based approach relates to a method and apparatus having a clear concise logic imp

Problems solved by technology

Each of these instruments has various disadvantages making them less desirable for certain applications.

These older systems operated with analog acquisition and sort electronics that are unable to differentiate particles within a certain proximity resulting in a large number of particles which could not be analyzed or sorted.

Such bottlenecks and aborts may result in erro

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